wedsamuel1230/arduino-skills/sensor-signal-filtering

Claude Code and agent skill by wedsamuel1230/arduino-skills

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Use when the main problem is a noisy or aliased analog/ADC signal and the task needs signal-chain diagnosis or filter-path selection across sampling, anti-aliasing, RC/input conditioning, ADC source impedance/settling, latency, startup, saturation, or raw/fault observability. Apply it when software filtering and hardware signal conditioning interact, even when the request only says that an analog sensor is unstable. Hand reusable Arduino snippets to arduino-code-generator, board facts to board-support, voltage/pin/rail safety to wiring-safety-check or circuit-debugger, and calibration after detection to sensor-calibration-workbench.

Install

npx vskill@latest install wedsamuel1230/arduino-skills/sensor-signal-filtering

SKILL.md

Sensor Signal Filtering

Design the signal chain from sensor output to reported value. Keep raw samples, filtered values, timing, saturation, and fault flags observable; a filter must not conceal a broken sensor or unsafe voltage.

Intake gate

Record or label unknowns before selecting a component or algorithm:

  • exact board, MCU, core/framework, ADC channel, resolution, reference, input

range, acquisition time, and toolchain versions

  • sensor part/module, output type and drive impedance, supply, cable length,

expected signal bandwidth, valid range, warm-up, and failure behavior

  • sample period/jitter budget, acceptable latency, step-response requirement,

threshold policy, calibration model, and available measurement tools

Resolve the board with board-support before board-specific ADC advice. For physical or multi-session work, load embedded-project-loop first and keep its measurement gate open.

Workflow

  1. Capture raw samples at a stated, repeatable rate before filtering. Separate

sensor dynamics from spikes, aliasing, quantization, ADC settling, rail/ ground noise, EMI, and calibration error.

  1. Set the sampling rate from the signal bandwidth and latency budget. Check

Nyquist and alias attenuation; do not use a software filter to recover information already aliased into the band.

  1. Choose one filter with an explicit window/alpha/model and calculate its

startup behavior, delay, memory, CPU cost, and effect on thresholds. Common starting choices are moving-average for bounded windows, median for isolated spikes, and EMA/IIR for low-cost smoothing; model-based filters require a stated model and noise assumptions.

  1. Check the analog path: sensor loading, RC cutoff, ADC acquisition/settling,

reference and ground, cable/noise coupling, input protection, voltage limits, decoupling, and motor/radio current return paths.

  1. Implement raw-plus-filtered telemetry and fault/saturation indicators.

Validate deterministic vectors on the host before target compilation.

  1. Change one causal variable per hardware iteration. Measure the ADC pin and

supply/ground with the same configuration used by the firmware.

Load on demand

sampling math, algorithm tradeoffs, calibration order, and latency choices.

RC/input networks, ADC drive/settling, wiring, protection, and measurements.

for host, simulation, build, target, and system gates.

as a board-neutral fixed-rate EMA starting point; fill in board-specific ADC assumptions before converting counts to volts. Reusable generated filtering patterns remain owned by arduino-code-generator.

  • Run the deterministic helper with `python3

scripts/filter_benchmark.py --help` or a captured vector. It is a design/TDD aid, not a replacement for target timing or electrical measurements.

The existing `arduino-code-generator` filtering pattern owns reusable code snippets. This skill owns signal-chain diagnosis, filter selection, hardware interaction, and evidence boundaries. Use circuit-debugger for fault isolation, wiring-safety-check for logic and rail limits, and sensor-calibration-workbench only after detection and signal integrity are established.

Output contract

Use the shared Arduino skill contract: state assumptions, required tools and versions, implementation steps, tests/evidence, known limitations, and recovery/security notes.

  • Build proof: host tests and an exact-board compile, if run.
  • Upload proof: an uploader result for a named port/image, if run.
  • Hardware proof: measured ADC pin, rail/ground, waveform, or wiring result.
  • System proof: observed sensor behavior under the real load/environment.
  • Deployment proof: field rollout, rollback, and maintenance evidence.

Never promote a passing host test, HTTP response, serial banner, or CI job to hardware or system proof. If the board, sensor, circuit, or measurement is unknown, stop at a bounded plan and name the next measurement.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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